SOTAVerified

Unsupervised Pre-training

Pre-training a neural network using unsupervised (self-supervised) auxiliary tasks on unlabeled data.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 81–90 of 265 papers

TitleStatusHype
FreePoint: Unsupervised Point Cloud Instance SegmentationCode1
Don't Stop Pretraining? Make Prompt-based Fine-tuning Powerful LearnerCode1
PUNR: Pre-training with User Behavior Modeling for News RecommendationCode0
Incorporating Unlabelled Data into Bayesian Neural Networks—0
Unsupervised Pre-Training For Data-Efficient Text-to-Speech On Low Resource LanguagesCode1
MultiTalent: A Multi-Dataset Approach to Medical Image SegmentationCode1
Generalized 3D Self-supervised Learning Framework via Prompted Foreground-Aware Feature Contrast—0
Research on CPI Prediction Based on Natural Language Processing—0
Device Tuning for Multi-Task Large Model—0
A Benchmark of Nested Named Entity Recognition Approaches in Historical Structured Documents—0
Show:102550
← PrevPage 9 of 27Next →
All datasetsMeaslesUCI measles

Benchmark Results

#ModelMetricClaimedVerifiedStatus
115RDLsAccuracy (%)95—Unverified
29RDLsAccuracy (%)94—Unverified
33 RMDLAccuracy (%)93—Unverified
4CNNAccuracy (%)73—Unverified
5RMDLAccuracy (%)0.1—Unverified
#ModelMetricClaimedVerifiedStatus
1RMDL (30 RDLs)Sensitivity (VEB)90.69—Unverified
2Sensitivity89.1—Unverified
3RMDL 3 RDLsSensitivity0.87—Unverified